Triple
T8055424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merlin 1D sea-level |
E187985
|
entity |
| Predicate | combustionChamberCount |
P80789
|
FINISHED |
| Object | 1 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1 | Statement: [Merlin 1D sea-level, combustionChamberCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: combustionChamberCount Context triple: [Merlin 1D sea-level, combustionChamberCount, 1]
-
A.
combustionChamber
Indicates that one entity functions as the combustion chamber in which another entity’s fuel–air mixture is burned to produce energy or propulsion.
-
B.
numberOfCylinders
Indicates the count of engine cylinders associated with an entity.
-
C.
numberOfFirstStageEngines
Indicates the quantity of engines used in the first stage of a multi-stage system or vehicle.
-
D.
valvesPerCylinder
Indicates the number of valves associated with each individual cylinder in an engine.
-
E.
numberOfEngines
Indicates the quantity of engines associated with or used by an entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fa16804819094926ff2ff053c80 |
completed | March 31, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69cb049a1b9c8190811c396421ebf9c9 |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bcbbc0819094a98e7ffffb7a40 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:25 p.m.